Quality Engineering

In today's fast-paced digital landscape, delivering high-quality, reliable digital products is paramount. Marlabs’ quality engineering services are deeply integrated into our digital product engineering lifecycle. We ensure that quality isn't just an afterthought but a core principle from conception to deployment and beyond.

We also go beyond traditional testing by leveraging modern methodologies to build robust, scalable, and user-centric digital experiences that provide recurring value. Partner with us to transform your software quality that accelerates innovation and builds customer trust.

What Is Quality Engineering (QE)?

Quality engineering is essential for successful product development, particularly in refining your final processes. Quality engineering relies on intelligent automation to scale, enabling thousands of daily test executions. We ensure your software meets the highest standards of quality, reliability, and availability by utilizing cutting-edge AI-driven testing methodologies, best-in-class automation frameworks, and continuous improvement processes.
Our quality engineering services include:
  • Test automation
  • AI-powered quality engineering
  • Continuous testing & DevOps integration
  • Performance engineering & scalability testing
  • Security testing integration
  • Cloud transformation testing

How Does Quality Engineering Work?

A digital product's success isn't just about features; it's about flawless performance, reliability, and an intuitive user experience that come together to build user trust. This is where quality engineering comes in.

While quality engineering is synonymously used with “software testing," it is in fact a comprehensive, proactive discipline woven into every fabric of the product development lifecycle. It's about building quality in from the very beginning, rather than merely finding defects at the end. At Marlabs, our goal is to ensure your software is not just functional, but truly excellent in every respect.
Here’s how our approach to quality engineering works, and why it's a critical investment for your digital initiatives:
Quality as the primary ethos
Traditionally, quality assurance was often a bottleneck at the very end of development. Our QE approach is integrated from the initial planning and design phases right through to deployment and beyond.
Leveraging AI-powered automation for quality & speed
To deliver high-quality software at the speed of modern business, manual testing alone is insufficient. Intelligent automation is the backbone of our Quality Engineering at scale. We build and deploy proven automation frameworks that allow us to execute thousands of test cases. This includes everything from unit tests to complex end-to-end user journey tests.
The intelligence of AI: revolutionizing QE
Marlabs leverages Artificial Intelligence to elevate Quality Engineering to drive better outcomes. We leverage AI to analyze requirements and behavior patterns to generate more effective and comprehensive test cases.  

Our AI-powered frameworks can intelligently adapt to minor UI changes in your application, automatically fixing broken test scripts to drastically reduce maintenance efforts and little-to-no downtime.
Supercharged performance
We ensure that robust Quality Engineering principles are embedded into the software development lifecycle to ensure that your application performs to its full potential, consistently while also protecting your data and your users from vulnerabilities.

How is quality engineering different from QA or testing?

Quality assurance (QA) is primarily focused on finding bugs after features have been built. They rely heavily on manual testing and post-development checks. The goal of traditional QA was to report on quality, indicating whether a product was "ready to ship" based on identified issues.

Quality engineering (QE) is more proactive and preventative as a process. Instead of just finding bugs, QE aims to prevent them from occurring in the first place. QE aims to accomplish this by being more integrated into the software development process.  

This could include collaborating with designers to ensure the product is testable and accessible, working with developers on unit tests and integration tests, and performance considerations as code is being written. We also define testable acceptance criteria from the outset for a smooth, exceptional experience.

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